This position follows a hybrid work model, requiring once a week in-office attendance.
Come work in a startup like environment (small team, big challenges, massive growth opportunity, relaxed office culture) with solid company stability (40+ years) and benefits including health, paid holidays, 401K, PTO, remote work friendly and great office views. Together with our 200+ university research partners, we have built PredictIt, into the “The Stock Market of Politics” where 100,000+ enthusiastic Traders make $1 winner-take-all political forecasts with stunning accuracy thanks to the wisdom of the crowd. Now we need your help taking it to the next level.
As a Senior .Net Software Engineer for PredictIt you will get to work on challenging and rewarding projects across the tech stack: from creating innovative web experiences to redesigning the financial engine at the heart of millions of dollars of transactions. You’ll be part of small team and have opportunities to take on exciting challenges and responsibilities that make the job extremely fulfilling and rewarding.
Job Responsibilities
Requirements
Technology Stack:
Pluses:
Benefits
All positions are Full-Time, with competitive compensation, medical benefits, paid vacation, 401k plan and stock options. Casual dress code and a non-corporate atmosphere make this a fun place to work and learn in a team environment.
As a Senior Software Development Engineer, you'll enhance your coding skills while contributing to game development and mentoring junior engineers in a collaborative environment.
Lead the architecture and development of scalable backend systems for search, recommendations, personalization, and content discovery, improving performance, reliability, and how users find content.
Own and ship backend agentic AI capabilities, from customer workflows and dependable agent tools to distributed execution systems, APIs, and production evaluation for hardware telemetry.
Own and ship backend agentic AI capabilities, from customer-driven product design to dependable systems for analyzing large-scale telemetry, orchestrating workloads, and measuring production quality.
Build and improve a high-throughput ad exchange by optimizing its real-time bidder and throttling layer, analyzing large-scale traffic data, and translating machine-learning insights into live bidding rules.
